MétaCan
Menu
Back to cohort
Record W2739305372 · doi:10.5539/jpl.v10n4p15

Investigating the Petition of Marshall Islands against Britain in the International Court of Justice

2017· article· en· W2739305372 on OpenAlexaffvenue
Sahar Asadi Moghadam, Abu Mohammad Asgar Khani

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsInternational courtLawNuclear weaponCharterPolitical scienceEconomic JusticeUnited Nations CharterInternational lawPublic international lawSecurity councilPolitics

Abstract

fetched live from OpenAlex

The international court of justice was established by Charter of the United Nations and is considered as one of its integral parts in which only experienced and knowledgeable judges and lawyers can be employed. In fact, it consists of several independent judicial institutions. Marshall Islands, a country which was cruelly imposed to nuclear tests, was brave enough to sue powerful countries with nuclear weapons. In 1996, nuclear weapons case was considered by the international court of justice for the first time. All the court’s members came to this conclusion that these countries should stop their nuclear activities and they are not permitted to use any nuclear weapon. As a result they ratified a bill. Then, Marshall Islands’ petition was considered by the international court of justice in The Hague. This country also took legal action against U.S.A. and the federal judiciary of the United States accepted to take it into consideration. This paper aims at analyzing the petition of Marshall Islands against Britain in the international court of justice. According to the content of this petition, countries can’t develop their nuclear weapons which threat men and the world. As a result, the destruction of present nuclear weapons is the only effective way to achieve this goal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.219
Threshold uncertainty score0.436

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.006
Scholarly communication0.0090.003
Open science0.0020.004
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.273
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Politics and LawSame topicInternational Maritime Law IssuesFrench-language works237,207